Improving Presentation Attack Detection Classification Accuracy: Novel Approaches Incorporating Facial Expressions, Backdrops, and Data Augmentation

Improving Presentation Attack Detection Classification Accuracy: Novel Approaches Incorporating Facial Expressions, Backdrops, and Data Augmentation

In the evolving landscape of biometric authentication, the integrity of face recognition systems against sophisticated presentation attacks (PAD) is paramount. This study set out to elevate the detection capabilities of PAD systems by ingeniously integrating a teacher–student learning framework with...

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Bibliographic Details
Main Authors: Tayyaba Riaz, Adeel Anjum, Madiha Haider Syed, Semeen Rehman
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
sparse learning
data augmentation
one-class domain adaptation
adversarial training
knowledge distillation
decision-making accuracy
Online Access:https://www.mdpi.com/1424-8220/25/7/2166
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